Mehdi Astaraki

Publikationer
CV
Populärvetenskap och samverkan

Artiklar

Journal article: RADIOTHERAPY AND ONCOLOGY. 2024;194:s5019-s5022
1119: Radiomics and deep learning for glioma treatment outcome prediction based on tumor invasion modeling
Astaraki M; Häger W; Lazzeroni M; Toma-Dasu I
Journal article: RADIOTHERAPY AND ONCOLOGY. 2024;194:s5120-s5122
2418: Role of modeled high-grade glioma cell invasion on tumor progression prediction after radiotherapy
Häger W; Lazzeroni M; Astaraki M; Toma-Dasu I
Article: PHYSICA MEDICA. 2023;113:102669
Overall survival prediction for high-grade glioma patients using mathematical modeling of tumor cell infiltration
Hager W; Toma-Dasu I; Astaraki M; Lazzeroni M
Journal article: RADIOTHERAPY AND ONCOLOGY. 2023;182:s653-s654
OC-0783 treatment outcome prediction from modeling the clinical target distribution for high-grade gliomas
Häger W; Lazzeroni M; Astaraki M; Toma-Dasu I; Häger W
Journal article: PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS. 2022;104:s121
463 OVERALL SURVIVAL PREDICTION BY MODELLING TUMOR CELL INFILTRATION IN HIGH-GRADE GLIOMA PATIENTS
Häger W; Toma-Dasu I; Lazzeroni M; Astaraki M
Article: ADVANCES IN RADIATION ONCOLOGY. 2022;7(5):100987
CTV Delineation for High-Grade Gliomas: Is There Agreement With Tumor Cell Invasion Models?
Hager W; Lazzeroni M; Astaraki M; Toma-Dasu L
Article: MEDICAL IMAGE ANALYSIS. 2022;80:102491
Prior-aware autoencoders for lung pathology segmentation
Astaraki M; Smedby O; Wang C
Journal article: RADIOTHERAPY AND ONCOLOGY. 2022;170:s290-s291
PD-0327 CTV delineation for high-grade gliomas: is there agreement with tumor cell invasion models?
Häger W; Toma-Dasu I; Lazzeroni M; Astaraki M
Article: FRONTIERS IN ONCOLOGY. 2022;12:870457
Spherical Convolutional Neural Networks for Survival Rate Prediction in Cancer Patients
Sinzinger F; Astaraki M; Smedby O; Moreno R
Journal article: RADIOTHERAPY AND ONCOLOGY. 2021;161:s1520-s1522
PO-1795 diffusion model based target definition for high-grade gliomas: robustness analysis
Häger W; Lazzeroni M; Astaraki M; Toma-Dasu I
Article: PHYSICA MEDICA. 2021;83:146-153
Benign-malignant pulmonary nodule classification in low-dose CT with convolutional features
Astaraki M; Zakko Y; Dasu IT; Smedby O; Wang C
Article: FRONTIERS IN ONCOLOGY. 2021;11:737368
A Comparative Study of Radiomics and Deep-Learning Based Methods for Pulmonary Nodule Malignancy Prediction in Low Dose CT Images
Astaraki M; Yang G; Zakko Y; Toma-Dasu I; Smedby O; Wang C
Journal article: RADIOTHERAPY AND ONCOLOGY. 2020;152:s843-s844
PO-1558: Model based target definition for high-grade gliomas: implementation and sensitivity analysis
Häger W; Lazzeroni M; Astaraki M; Toma-Dasu I
Article: PHYSICA MEDICA. 2019;60:58-65
Early survival prediction in non-small cell lung cancer from PET/CT images using an intra-tumor partitioning method
Astaraki M; Wang C; Buizza G; Toma-Dasu I; Lazzeroni M; Smedby O
Journal article: PHYSICS AND IMAGING IN RADIATION ONCOLOGY. 2018;5:52-57
Evaluation of localized region-based segmentation algorithms for CT-based delineation of organs at risk in radiotherapy
Astaraki M; Severgnini M; Milan V; Schiattarella A; Ciriello F; de Denaro M; Beorchia A; Aslian H
Article: INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS. 2013;87(1):195-201
Magnetic Resonance Imaging-Based Target Volume Delineation in Radiation Therapy Treatment Planning for Brain Tumors Using Localized Region-Based Active Contour
Aslian H; Sadeghi M; Mahdavi SR; Mofrad FB; Astarakee M; Khaledi N; Fadavi P
Article: BIOMEDICAL ENGINEERING ONLINE. 2013;12:73
EMG-based facial gesture recognition through versatile elliptic basis function neural network
Hamedi M; Salleh S-H; Astaraki M; Noor AM

Alla övriga publikationer

Conference publication: RADIOTHERAPY AND ONCOLOGY. 2023;182:S653-S654
treatment outcome prediction from modeling the clinical target distribution for high-grade gliomas
Hager W; Lazzeroni M; Astaraki M; Toma-Dasu I; Hager W
Preprint: 2022
PriorNet: lesion segmentation in PET-CT including prior tumor appearance information
Bendazzoli S; Astaraki M
Thesis / dissertation: 2022
Advanced machine learning methods for oncological image analysis
Astaraki, Mehdi
Conference publication: NUKLEARMEDIZIN - NUCLEARMEDICINE. 2022;61(02):164
Tumor Detection in PET/CT Using Multimodal Image Inpainting
Astaraki M; De Benetti F; Toma-Dasu I; Smedby Ö; Wang C; Navab N; Wendler T
Conference publication: RADIOTHERAPY AND ONCOLOGY. 2021;161:S1520-S1522
diffusion model based target definition for high-grade gliomas: robustness analysis
Hager W; Lazzeroni M; Astaraki M; Toma-Dasu I
Preprint: ARXIV. 2020
Development and evaluation of a 3D annotation software for interactive COVID-19 lesion segmentation in chest CT
Bendazzoli S; Brusini I; Astaraki M; Persson M; Yu J; Connolly B; Nyrén S; Strand F; Smedby Ö; Wang C
Conference publication: RADIOTHERAPY AND ONCOLOGY. 2020;152:S843-S844
Model based target definition for high-grade gliomas: implementation and sensitivity analysis
Hager W; Lazzeroni M; Astaraki M; Toma-Dasu I
Book chapter: BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES: LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS). 2020;p. 316-323
Multimodal Brain Tumor Segmentation with Normal Appearance Autoencoder
Astaraki M; Wang C; Carrizo G; Toma-Dasu I; Smedby Ö
Conference publication: RADIOTHERAPY AND ONCOLOGY. 2019;133:S208-S209
Early survival prediction in non-small cell lung cancer with PET/CT size aware longitudinal pattern
Astaraki M; Wang C; Buizza G; Toma-Dasu I; Lazzeroni M; Smedby O
Book chapter: MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION – MICCAI 2019: LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS). 2019;p. 249-256
Normal Appearance Autoencoder for Lung Cancer Detection and Segmentation
Astaraki M; Toma-Dasu I; Smedby Ö; Wang C

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